Zeke Xie

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Optimization & Training — 30 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it

Whom Zeke Xie trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. L. Eon Bottou
3. David A. McAllester
4. Geoffrey E. Hinton
5. Alex Graves
6. Diederik P. Kingma
7. Yoshua Bengio
8. Kaiming He
9. Ilya Sutskever
10. Sepp Hochreiter

Who trusts Zeke Xie overall

1. Pengfei Chen

Papers from Zeke Xie's perspective

Ordered by how strongly the researchers Zeke Xie trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast (2020) — 18 citations
• Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting (2020) — 71 citations